Ongoing Projects

• Quantum circuit decompiler for scalable quantum architecture search (QML)
• MLC4QC: Machine learning control of quantum computation on programmable matter (QML)
• AME-state based spin qubit processor benchmarking (QML)
• Resource modelling of distributed quantum computing using Petri nets (QIRG)
• Agent-based concept discovery of quantum error correction codes (QIRG, QML)
• Enriching the expressive capabilities of quantum pulse languages (QML)
• Quantum accelerated probabilisitic logic programs (looking for collaborators)
• Algorithmic probability guided quantum geometric machine learning (looking for collaborators)
• Identification and generative synthesis of provable quantum accelerated kernels (looking for collaborators)

… interested in a research collaboration (or master’s thesis) within QCA/QML team on related topics? Contact me or Sebastian Feld over LinkedIn or email.

Past Projects

(in reverse chronological order)

• YAQQ: Yet Another Quantum Quantizer - Design Space Exploration of Quantum Gate Sets using Novelty Search (QIRG, QML ‘24)
• Quantum instruction set optimization using description complexity coding (QML, ‘24)
• Noise-aware energy-optimized quantum optimal pulse control (QML, ‘24)
• KANQAS: Kolmogorov Arnold Network for Quantum Architecture Search (QML, ‘24)
• Transformer Models for Quantum Gate Set Tomography (QML, ‘24)
• A quantum information theoretic analysis of reinforcement learning-assisted quantum architecture search (QIRG, ‘24)
• A resource-efficient variational quantum algorithm for mRNA codon optimization (QBee, ‘24)
• ArtA : Artificial Architect - Automating design space exploration of spin qubit architectures (QML, ‘24)
• Resource Bounds for Quantum Circuit Mapping via Quantum Circuit Complexity (QML, ‘24)
• KetGPT - Dataset Augmentation of Quantum Circuits using Transformers (QML, ‘23)
• Qiskit Gymnasium environment for quantum circuit optimization (QWorld, ‘23)
• Quantum algorithms for RNA sequence design (QML, ‘23)
• An application framework for quantum accelerated causal tomography (QWorld, QIRG, ‘22)
• Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning (TUD ‘22)
• Evolutionary resource-bounded universal reinforcement learning in quantum environments (TUD ‘22)
• Gate based quantum automata for estimation of algorithmic information (TUD ‘21)
• De novo DNA read assembly using QAOA and quantum annealing (TUD ‘20)
• Quantum algorithms for pattern-matching in genomic sequences (TUD ‘19)
• Quantum Innovation Environment (QuInE), a PyQT based IDE for quantum programming (TUD ‘18)
• Spiking neural network based associative memory neuro-evolution (TCSRI ‘18)
• Brain-inspired robotic mapping and navigation using time-series of hexagonal grid and place cells (TCSRI ‘18)
• System design of warehouse automation using multi-agent collaborative box-pushing strategies (TCSRI ‘17)
• Human brain simulation in GPU with Inferior Olive model in OpenCL and CUDA (TUD ‘17)
• GATK based human genome sequencing for distributed Spark platform in Scala (TUD ‘17)
• Fuzzing and concolic execution on RERS-2016 problems using AFL and KLEE (TUD ‘17)
• Optimizing a SoC using ρ-VEX VLIW processors (TUD ‘17)
• Enhancing the Plasma processor IP core (TUD ‘17)
• Accelerating object tracking in OMAP3530 application processor (TUD ‘17)
• Solar energy forecasting using ORCA system (TUD ‘17)
• Earthquake occurrence analysis and aftershock prediction using MATLAB and Tableau (TUD ‘17)
• Technology demonstrator of satellite firmware update via telecommands (ISRO ‘16)
• Approaches towards standardization of software for on-board storage systems in space programs (ISRO ‘16)
• Software design of onboard memory management subsystem for Chandrayaan-2 orbiter (ISRO ‘16)
• Project management of onboard memory management subsystem for HySIS satellite (ISRO ‘16)
• Software design of onboard memory management subsystem for Resourcesat satellites (ISRO ‘15)
• Hardware design of onboard memory management subsystem for ScatSat-1 (ISRO ‘15)
• Software design and implementation of onboard memory management subsystem for Cartosat-2C (ISRO ‘15)
• On-board payload data store and forward design for Astrosat (ISRO ‘14)
• Elevation mapping using stereo vision enabled heterogeneous multi-agent network (IIST ‘13)
• Hazard control algorithms for heterogenous multi-agent cloud-enabled robotic network (IIST ‘13)
• Self-configuring classical logic gate circuits using genetic programming in Java (IIST ‘12)
• Multi-vehicle path planning in dynamically changing environments using genetic optimised TSP (IIST ‘12)
• Computer vision based centralized multi-agent system on MATLAB and Arduino (IIST ‘11)

Selected Publications

(deprecated, check past projects section)

Open access links, categorized into the 3 main fields and subfields (as tags), ordered in relevance to current work and how big the project was. For a different ordering (e.g. chronologically, or by citation) or a more complete list, check my Google Scholar profile.

Quantum computation (TU Delft)

• Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis (gate-based quantum algorithms; algorithmic information theory)
• Automated Quantum Software Engineering: why? what? how? (quantum programming; quantum compilers)
• Quantum accelerated Causal Tomography: circuit considerations towards applications (gate-based quantum algorithms; causal inference)
• Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning (PhD thesis)
• Quantum Knowledge Seeking Agent: resource-optimized reinforcement learning using quantum process tomography (gate-based quantum algorithms; reinforcement learning; universal artificial intelligence; algorithmic information theory)
• Estimating algorithmic information using quantum computing for genomics applications (algorithmic information; gate-based quantum algorithms; metabiology)
• Quantum Algorithms: for pattern-matching in genomic sequences (MSc thesis; gate-based quantum algorithms; quantum search; genomics)
• QuASeR – Quantum Accelerated De Novo DNA Sequence Reconstruction (quantum optimization; variational algorithms; quantum annealing; genomics)
• Quantum Computing: from NISQ to PISQ (quantum research methodology)
• Quantum Computer Architecture: Towards Full-Stack Quantum Accelerators (quantum computer architecture)
• Efficient decomposition of unitary matrices in quantum circuit compilers (quantum compilers)
• Efficient parameterised compilation for hybrid quantum programming (quantum compilers)
• Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions (quantum computer architecture)